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contribute to the development and validation of computationally efficient motor-twin models for permanent magnet synchronous machines. The work will focus on machine modelling, parameter and state estimation
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can upload participants' written memory responses and receive automated scores in return, without writing any code. The platform is designed to host a range of scoring models (both the models we develop
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to the development of techno-economic models, and supervise the PhD candidate in all research activities related to energy economics. The researcher will work closely with the principal investigator and the project
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Policy, CAP) you will lead high-impact analytical research that supports evidence-based policymaking at both Dutch and European levels. Using advanced economic modelling and quantitative analysis, you will
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they negotiate changes to their work and business models. Through ethnographic fieldwork you will research what practitioners value within the activity of making creative work, and how that changes
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/ProvinceBucharestCityBucharestStreetPiata Romana no 6Geofield Contact State/Province Bucharest City Bucharest Website https://resurseumane.ase.ro/just-circle-measuring-and-advancing-circular-business-models-for-a-fair-and-sustainable
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research • Deep learning and predictive modeling • Natural language processing and large language models for biomedical data • Drug response prediction and treatment optimization • Biomedical knowledge
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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | 2 months ago
Offer Description INEGI is opening a call for applications for the recruitment of a PhD Researcher in the field of Scientific Artificial Intelligence, Optimisation and Computational Modelling Applied
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Particle Fluid Dynamic (CPFD) model development. The person appointed will be affiliated with the Research Group in Energy and Environmental Technology (URGENT). Duties Complete the doctoral programme up
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, physiology-aware models of bacteriophage infection by combining high-throughput single-cell microscopy, microfluidics, image analysis, and mathematical modelling. The work will contribute to understanding how